Justin submits his first research paper

We’re celebrating a milestone for Justin Gambill: the submission of his first research paper!
His work with Chase Mason and Jordan A. Dowell explores untargeted metabolomics of plant samples using HPLC with diode-array detection and Gaussian mixture models. The approach connects analytical chemistry with statistical classification to study variation in plant chemical profiles.
A preprint, “Untargeted Metabolomics of Plant Samples using HPLC-DAD and Gaussian Mixture Models,” is now available. This is a manuscript submission and preprint milestone; the work has not yet completed peer review.
Congratulations, Justin!